Paper ID: 2210.05454

Low Complexity Convolutional Neural Networks for Equalization in Optical Fiber Transmission

Mohannad Abu-romoh, Nelson Costa, Antonio Napoli, João Pedro, Yves Jaouën, Mansoor Yousefi

A convolutional neural network is proposed to mitigate fiber transmission effects, achieving a five-fold reduction in trainable parameters compared to alternative equalizers, and 3.5 dB improvement in MSE compared to DBP with comparable complexity.

Submitted: Oct 11, 2022